FEDERATED - the claims inside are not verified by this repo. A seven-skill A-share fundamental-research orchestrator: business decomposition, moat assessment, financial health, strategy-transition analysis, risk and catalyst monitors, valuation scenarios. Idle since March 2026; no credentials, nothing executes. Installs disabled.
Plugin china-stock-research-skills from marketplace fin-skills in howard-lynn-ye/fin-skills. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (7)
business-decomposition-order-quality
Break down an A-share company's business model into segments, customers, products, regions, projects, and order pipeline quality. Use this skill when testing whether reported growth is supported by real delivery, healthy customers, and cash collection. All outputs must include accessible source link
china-stock-research-orchestrator
Orchestrate a full China stock research workflow by first identifying the company's analysis patterns, then selecting and sequencing the right core research skills, optional overlays, and final output structure. Use this skill when starting a new stock deep-dive or when a user wants one unified, sou
financial-health
Evaluate the financial health of an A-share company through earnings quality, cash conversion, working capital, leverage, and balance-sheet risk. Use this skill when revenue and profit trends diverge from cash flow, when debt and capex matter, or when impairment and receivable quality are major conc
industry-competition-moat
Analyze the industry structure, competition, supply-demand balance, and moat of an A-share company. Use this skill when testing whether a company's growth can be sustained, whether its claimed differentiation is real, and which external industry forces could compress returns. All outputs must includ
risk-warning-catalysts
Build a source-backed monitoring system for risk signals and catalysts in an A-share company. Use this skill when turning static research into an update process covering orders, financing, governance, policy, operations, and sentiment. All outputs must include accessible source links.
strategy-business-transition
Analyze an A-share company's strategy, business evolution, and transformation progress. Use this skill when assessing whether a listed company is truly completing a business transition, whether legacy assets still drag results, and which milestones can confirm or falsify management's strategic narra
valuation-investment-strategy
Convert a source-backed A-share research view into valuation scenarios and an investment plan. Use this skill after strategy, business, financial, industry, and risk work is complete. Choose methods that fit the business model and explain assumptions with accessible source links.
FEDERATED - the claims inside are not verified by this repo. 501 engineering-grade trading skills - point-in-time backtest schemas, universe look-ahead, alt-data availability lag, ML against transaction costs, adjusted-vs-unadjusted prices, backtest determinism and audit trails, broker idempotency and failover, exchange FIX specs (ASX, B3, Bursa, BIST, Cboe), regulatory gates and a key-scope audit skill. Its README claims 458 of 501 cite a primary source; it is clearly LLM-generated at scale and the depth is unverified. Upstream splits these into per-domain plugins, but its root manifest exposes all 501 at once - roughly 25x the discovery budget, which is yours to spend since it installs disabled. No credentials in the skills; nothing executes. Installs disabled.
FEDERATED - the claims inside are not verified by this repo. FTShare's official one-endpoint-per-skill data catalogue for the Chinese market: A/HK/US quotes and K-lines, 可转债 including SZSE declaration snapshots, ETF PCF and IOPV, 龙虎榜, block trades, margin balances, executive holdings, the ChinaBond yield curve, the CPI/PPI/PMI/LPR/M2/credit macro series and news-sentiment factors. FTSHARE_API_KEY in the environment (a free tier exists per the launch article); read-only. Be deliberate: 215 sub-skills is roughly 10x the ~20-skill discovery budget, so treat it as a catalogue to enable for a session, not a standing install - it arrives disabled and the budget is yours to spend. Installs disabled.
FEDERATED - the claims inside are not verified by this repo. The deepest IFRS/GAAP pack in this sweep that also validates cleanly: IFRS 9 expected credit loss, IFRS 16 leases, IAS 12 deferred tax, revenue recognition, consolidation, SOX, forensic accounting, insurance reserving, WACC, LBO, treasury and Basel banking compliance, with an eval harness in the repo. Outside this library's quant core and overlapping the banking-regulatory entry on Basel and IFRS 9. Optional Stripe/Plaid connectors; nothing executes. Installs disabled.
FEDERATED - the claims inside are not verified by this repo. HKUDS' 33k-star trading agent, taken for its skill tree alone - the richest algorithm content this sweep found: the Kakushadze 101, GTJA 191 and Qlib 158 alpha zoos, factor IC/IR research, execution models (square-root impact, VWAP/TWAP), microstructure (VPIN, Kyle's lambda, Amihud), SABR and local-vol options, convertible bonds, credit, Brinson attribution, GARCH/ADF and a Pine/vnpy exporter. The skills are coupled to the app's data router and Python toolkit, so test them standalone before trusting them; data keys go in a .env, and live orders are reachable only through a separate gated connector with a kill switch, not from these skills. 90 skills is about 4.5x the discovery budget. Installs disabled.
FEDERATED - the claims inside are not verified by this repo. The closest structural peer to fin-libraries found in the wild - 82 one-library skills in Chinese - and the only pack anywhere in this sweep with actuarial and structured-credit content: MlFinLab information bars and fractional differencing, arch/GARCH, alphalens, bt/backtrader/nautilus/qlib/LEAN, QuantLib and FinancePy day counts and schedules, XVA (CVA/DVA/FVA, SIMM), chainladder loss reserving, IFRS 9 ECL, credit scorecards and transition matrices, ABS waterfalls, Smith-Wilson EIOPA curves. Depth is unverified and the author has one star; the easytrader and nautilus skills document live-broker paths but nothing executes by default. 82 skills is roughly 4x the discovery budget. Installs disabled.
FEDERATED - the claims inside are not verified by this repo. The maintained superset of geeksfino-finskills, 107 skills across China, Hong Kong and US directories: A+H premium, block deals, 龙虎榜, pledge risk, goodwill, 解禁 unlocks, margin risk, factor crowding, event studies, valuation regimes, and HK southbound, currency and liquidity monitors. Free data sources; nothing executes. Two caveats - it has been idle since February 2026, and 107 skills is roughly 5x the discovery budget, which is yours to spend since it installs disabled. Installs disabled.
Apollo GraphQL agent skills for Claude Code — Apollo Client, Server, Federation, Connectors, Router, Rover CLI, iOS, Kotlin, and the Apollo MCP server. Covers schema design, query optimization, and GraphQL best practices.
Data lake, analytics, search, streaming, ETL, and orchestration workflows with S3 Tables, AWS Glue, Athena, Amazon Redshift, Amazon OpenSearch Service, Amazon MSK, Amazon Managed Service for Apache Flink, Amazon MWAA, and Amazon SageMaker Catalog. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, vector storage and semantic search on Amazon S3 Vectors, Amazon OpenSearch Service and Serverless (migration from Solr/Elasticsearch, provisioning, vector/semantic/hybrid search, log analytics, trace analytics), Amazon MSK Provisioned with Standard and Express brokers (cluster sizing, performance and consumer lag troubleshooting, topic management, MSK Replicator for disaster recovery and active-active replication, and Streaming Tables delivery to S3 Tables), migrating self-managed Apache Kafka to MSK Express, Apache Flink application development on Amazon Managed Service for Apache Flink, and Amazon MWAA Provisioned and MWAA Serverless (authoring, testing, and debugging DAGs and workflows, and Airflow version upgrades for provisioned environments), and Amazon SageMaker Catalog and AWS Glue Data Catalog curation (business descriptions, glossaries, metadata forms, publishing, and safe asset retirement) with subscription-based access requests, approvals, audits, and revocations.
GitHub Actions CI/CD workflows for Google Cloud and Vertex AI deployments
1 skill · 1 agent · hooks
jeremylongshore/tons-of-skills-marketplace 2,917
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